How to rconstruct image using eigenvectors and eigenvalues?
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I am trying to reconstruct an image by evaluating its eigenvalues and eigenvectors. Some of the eigenvalues are negative and when I reconstruct the image using:
imge_rec = (eig_vec)*(eig_values)*(eig_vec)'
I do not obtain the same image. Following is my code and test image: img_in = double(rgb2gray(imread('input.jpg')));
[eig_vec,eig_val] = eig(img_in);
img_rec = eig_vec * eig_val * eig_vec';
figure;
imshow(img_rec,[]);
input image
output image
采纳的回答
Bjorn Gustavsson
2015-9-30
I find it easier to work with the SVD-decomposition instead of the eigenvalue-decomposition. Since your matrix is not symmetric it gives complex-valued eigenvalues, which makes it much harder to use the eigenvalue-decomposition. The SVD gives you singular values that are real and >= 0. This makes it easier to implement straight filters and compressions and whatnot. So try:
[U,S,V] = svd(img_in);
imagesc(U*S*V.')
HTH
2 个评论
Hitendra
2015-9-30
Medha Sharma
2017-4-12
Use inv function to take inverse, E' will take transpose.
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